¶¡ÏãÔ°AV

Please note:

To view the current Academic Calendar, go to www.sfu.ca/students/calendar.html.

| ¶¡ÏãÔ°AV Calendar | Summer 2021

Multimedia Computing Specialist Major

Bachelor of Science

Normal admission to the Multimedia Computing Specialist Major has been suspended effective September 1,2013. Students are still able to take the same classes, but no special certification will be available.

The school offers a specialist major program in multimedia computing leading to a bachelor of science (BSc) degree. Students must consult an advisor before commencing a specialist program, preferably early in their second year.

¶¡ÏãÔ°AV Requirements

Entry into computing science programs is possible via

  • direct admission from high school
  • direct transfer from a recognized post-secondary institution, or combined transfer units from more than one post-secondary institution
  • internal transfer from within ¶¡ÏãÔ°AV

¶¡ÏãÔ°AV is competitive. A separate admission average for each entry route is established each term, depending on spaces available and subject to the approval of the Dean of Applied Sciences. ¶¡ÏãÔ°AV averages are calculated over a set of courses satisfying particular breadth constraints.

Internal Transfer

Internal transfer allows students to transfer, within ¶¡ÏãÔ°AV, from one faculty to another. Once you have completed our 3 qualifying courses (see below) you can apply for internal transfer into the School of Computing Science. ¶¡ÏãÔ°AV students applying for School of Computing Science admission are selected on the basis of an admission Computing Related Grade Point Average. The CRGPA is calculated over the best three courses chosen as follows.

  • one mathematics course chosen from MACM 101, 201, MATH 150 (or 151), 152 and 240 (or 232)
  • one computing course chosen from CMPT 125 (or 126 or 128), 150, (or ENSC 150), 225, 250 and 275
  • one additional mathematics or computing science course chosen from the above lists

No course may be included in the average if it is a duplicate of any previous course completed at ¶¡ÏãÔ°AV or elsewhere. All three courses must be completed prior to application.

Continuation Requirements

Students who do not maintain at least a 2.40 CGPA, will be placed on the school’s probation. Courses available to probationary students may be limited. Each term, these students must consult an advisor prior to enrolment and must achieve either a term 2.40 term GPA or an improved CGPA. Reinstatement from probationary standing occurs when the CGPA improves to 2.40 or better and is maintained.

Graduation Requirements

A GPA of 2.00 must be obtained for upper division courses used to fulfill the program requirements.

Prerequisite Grade Requirement

Computing science course entry requires a grade of C- or better in each prerequisite course. A minimum 2.40 CGPA is required for 200, 300 and 400 division CMPT courses. For complete information, contact an Applied Sciences Advisor.

Program Requirements

Special Topics Courses

Relevant FPA and CMNS lower and upper division special topics courses may be applied to the following requirements with the approval of the director of undergraduate studies in the School of Computing Science.

Lower Division Requirements

Students complete all lower division requirements for the computing science major as shown below and some additional lower division requirements.

Students complete either

or both of

CMPT 120 - Introduction to Computing Science and Programming I (3)

An elementary introduction to computing science and computer programming, suitable for students with little or no programming background. Students will learn fundamental concepts and terminology of computing science, acquire elementary skills for programming in a high-level language and be exposed to diverse fields within, and applications of computing science. Topics will include: pseudocode, data types and control structures, fundamental algorithms, computability and complexity, computer architecture, and history of computing science. Treatment is informal and programming is presented as a problem-solving tool. Prerequisite: BC Math 12 or equivalent is recommended. Students with credit for CMPT 102, 128, 130 or 166 may not take this course for further credit. Students who have taken CMPT 125, 129, 130 or 135 first may not then take this course for further credit. Quantitative/Breadth-Science.

Section Instructor Day/Time Location
Diana Cukierman
May 12 – Aug 9, 2021: Mon, Wed, Fri, 9:30–10:20 a.m.
Burnaby
Diana Cukierman
May 12 – Aug 9, 2021: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby
CMPT 125 - Introduction to Computing Science and Programming II (3)

A rigorous introduction to computing science and computer programming, suitable for students who already have some background in computing science and programming. Intended for students who will major in computing science or a related program. Topics include: fundamental algorithms; elements of empirical and theoretical algorithmics; abstract data types and elementary data structures; basic object-oriented programming and software design; computation and computability; specification and program correctness; and history of computing science. Prerequisite: CMPT 120 with a minimum grade of C-. Corequisite: CMPT 127. Students with credit for CMPT 126, 129, 135 or CMPT 200 or higher may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
John Edgar
Toby Donaldson
May 12 – Aug 9, 2021: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby

and all of

CMPT 225 - Data Structures and Programming (3)

Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Prerequisite: (MACM 101 and ((CMPT 125 and 127), CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
John Edgar
May 12 – Aug 9, 2021: Mon, Wed, Fri, 9:30–10:20 a.m.
Burnaby
D101 May 12 – Aug 9, 2021: Wed, 10:30–11:20 a.m.
Burnaby
D102 May 12 – Aug 9, 2021: Wed, 10:30–11:20 a.m.
Burnaby
D103 May 12 – Aug 9, 2021: Wed, 11:30 a.m.–12:20 p.m.
Burnaby
D104 May 12 – Aug 9, 2021: Wed, 11:30 a.m.–12:20 p.m.
Burnaby
D105 May 12 – Aug 9, 2021: Wed, 12:30–1:20 p.m.
Burnaby
D106 May 12 – Aug 9, 2021: Wed, 12:30–1:20 p.m.
Burnaby
D107 May 12 – Aug 9, 2021: Wed, 1:30–2:20 p.m.
Burnaby
D108 May 12 – Aug 9, 2021: Wed, 1:30–2:20 p.m.
Burnaby
CMPT 275 - Software Engineering I (4)

Introduction to software engineering techniques used in analysis/design and in software project management. The course centres on a team project involving requirements gathering, object analysis and simple data normalization, use-case-driven user documentation and design followed by implementation and testing. Additionally, there is an introduction to project planning, metrics, quality assurance, configuration management, and people issues. Prerequisite: One W course, CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and (MATH 151 or MATH 150), all with a minimum grade of C-. MATH 154 or MATH 157 with at least a B+ may be substituted for MATH 151 or MATH 150. Students with credit for CMPT 276 may not take this course for further credit.

MACM 101 - Discrete Mathematics I (3)

Introduction to counting, induction, automata theory, formal reasoning, modular arithmetic. Prerequisite: BC Math 12 (or equivalent), or any of MATH 100, 150, 151, 154, 157. Quantitative/Breadth-Science.

MACM 201 - Discrete Mathematics II (3)

A continuation of MACM 101. Topics covered include graph theory, trees, inclusion-exclusion, generating functions, recurrence relations, and optimization and matching. Prerequisite: MACM 101 or (ENSC 251 and one of MATH 232 or MATH 240). Quantitative.

and one of

MATH 150 - Calculus I with Review (4)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Topics as for Math 151 with a more extensive review of functions, their properties and their graphs. Recommended for students with no previous knowledge of Calculus. In addition to regularly scheduled lectures, students enrolled in this course are encouraged to come for assistance to the Calculus Workshop (Burnaby), or Math Open Lab (Surrey). Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B+, or MATH 100 with a grade of at least B-, or achieving a satisfactory grade on the ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 151, 154 or 157 may not take MATH 150 for further credit. Quantitative.

Section Instructor Day/Time Location
Seyyed Aliasghar Hosseini
May 12 – Aug 9, 2021: Mon, Wed, Fri, 1:30–2:20 p.m.
Burnaby
OP01 TBD
MATH 151 - Calculus I (3)

Designed for students specializing in mathematics, physics, chemistry, computing science and engineering. Logarithmic and exponential functions, trigonometric functions, inverse functions. Limits, continuity, and derivatives. Techniques of differentiation, including logarithmic and implicit differentiation. The Mean Value Theorem. Applications of differentiation including extrema, curve sketching, Newton's method. Introduction to modeling with differential equations. Polar coordinates, parametric curves. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least A, or MATH 100 with a grade of at least B, or achieving a satisfactory grade on the ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 150, 154 or 157 may not take MATH 151 for further credit. Quantitative.

MATH 154 - Calculus I for the Biological Sciences (3)

Designed for students specializing in the biological and medical sciences. Topics include: limits, growth rate and the derivative; elementary functions, optimization and approximation methods, and their applications; mathematical models of biological processes. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 150, 151 or 157 may not take MATH 154 for further credit. Quantitative.

MATH 157 - Calculus I for the Social Sciences (3)

Designed for students specializing in business or the social sciences. Topics include: limits, growth rate and the derivative; logarithmic, exponential and trigonometric functions and their application to business, economics, optimization and approximation methods; introduction to functions of several variables with emphasis on partial derivatives and extrema. Prerequisite: Pre-Calculus 12 (or equivalent) with a grade of at least B, or MATH 100 with a grade of at least C, or achieving a satisfactory grade on the ¶¡ÏãÔ°AV Calculus Readiness Test. Students with credit for either MATH 150, 151 or 154 may not take MATH 157 for further credit. Quantitative.

Section Instructor Day/Time Location
Justin Chan
May 12 – Aug 9, 2021: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
OP01 TBD

and one of

MATH 152 - Calculus II (3)

Riemann sum, Fundamental Theorem of Calculus, definite, indefinite and improper integrals, approximate integration, integration techniques, applications of integration. First-order separable differential equations and growth models. Sequences and series, series tests, power series, convergence and applications of power series. Prerequisite: MATH 150 or 151, with a minimum grade of C-; or MATH 154 or 157 with a grade of at least B. Students with credit for MATH 155 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
Vijaykumar Singh
May 12 – Aug 9, 2021: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
OP01 TBD
MATH 155 - Calculus II for the Biological Sciences (3)

Designed for students specializing in the biological and medical sciences. Topics include: the integral, partial derivatives, differential equations, linear systems, and their applications; mathematical models of biological processes. Prerequisite: MATH 150, 151 or 154, with a minimum grade of C-; or MATH 157 with a grade of at least B. Students with credit for MATH 152 or 158 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
Mahdieh Malekian
May 12 – Aug 9, 2021: Mon, Wed, Fri, 8:30–9:20 a.m.
Burnaby
OPO1 TBD
MATH 158 - Calculus II for the Social Sciences (3)

Designed for students specializing in business or the social sciences. Topics include: theory of integration, integration techniques, applications of integration; functions of several variables with emphasis on double and triple integrals and their applications; introduction to differential equations with emphasis on some special first-order equations and their applications; sequences and series. Prerequisite: MATH 150 or 151 or 154 or 157, with a minimum grade of C-. Students with credit for MATH 152 or 155 may not take MATH 158 for further credit. Quantitative.

and one of

MATH 232 - Applied Linear Algebra (3)

Linear equations, matrices, determinants. Introduction to vector spaces and linear transformations and bases. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. An emphasis on applications involving matrix and vector calculations. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 240 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
Justin Chan
May 12 – Aug 9, 2021: Mon, Wed, Fri, 2:30–3:20 p.m.
Burnaby
OP01 TBD
MATH 240 - Algebra I: Linear Algebra (3)

Linear equations, matrices, determinants. Real and abstract vector spaces, subspaces and linear transformations; basis and change of basis. Complex numbers. Eigenvalues and eigenvectors; diagonalization. Inner products and orthogonality; least squares problems. Applications. Subject is presented with an abstract emphasis and includes proofs of the basic theorems. Prerequisite: MATH 150 or 151 or MACM 101, with a minimum grade of C-; or MATH 154 or 157, both with a grade of at least B. Students with credit for MATH 232 cannot take this course for further credit. Quantitative.

Section Instructor Day/Time Location
Shuxing Li
May 12 – Aug 9, 2021: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
D101 May 12 – Aug 9, 2021: Thu, 9:30–10:20 a.m.
Burnaby
D102 May 12 – Aug 9, 2021: Thu, 2:30–3:20 p.m.
Burnaby
D103 May 12 – Aug 9, 2021: Thu, 3:30–4:20 p.m.
Burnaby

and one of

STAT 270 - Introduction to Probability and Statistics (3)

Basic laws of probability, sample distributions. Introduction to statistical inference and applications. Prerequisite: or Corequisite: MATH 152 or 155 or 158, with a minimum grade of C-. Students wishing an intuitive appreciation of a broad range of statistical strategies may wish to take STAT 100 first. Quantitative.

Section Instructor Day/Time Location
Scott Pai
May 12 – Aug 9, 2021: Wed, 11:30 a.m.–12:20 p.m.
May 12 – Aug 9, 2021: Fri, 10:30 a.m.–12:20 p.m.
Burnaby
Burnaby
OP01 TBD
BUS 232 - Data and Decisions I (4)

An introduction to business statistics with a heavy emphasis on applications and the use of EXCEL. Students will be required to use statistical applications to solve business problems. Prerequisite: MATH 150, MATH 151, MATH 154, or MATH 157, with a minimum grade of C-; 15 units. MATH 150, MATH 151, MATH 154, or MATH 157 may be taken concurrently with BUS 232. Students with credit for BUEC 232 or ECON 233 may not take this course for further credit. Quantitative.

Section Instructor Day/Time Location
May 12 – Aug 9, 2021: Tue, Thu, 10:30 a.m.–12:20 p.m.
Burnaby
May 12 – Aug 9, 2021: Mon, 1:30–5:20 p.m.
Burnaby
OP01 May 12 – Aug 9, 2021: Tue, 12:30–4:20 p.m.
Burnaby
OP02 May 12 – Aug 9, 2021: Thu, 12:30–4:20 p.m.
Burnaby
OP03 May 12 – Aug 9, 2021: Mon, 9:30 a.m.–1:20 p.m.
Burnaby
OP04 May 12 – Aug 9, 2021: Mon, 5:30–9:20 p.m.
Burnaby
OP05 TBD
OP06 TBD

and at least two of

CMNS 259 - Listening, Culture and Society (3)

An introduction to sound as a communications medium and listening as a cultural as well as perpetual practice. Designed to develop the student's perception and understanding of sound and its behaviour in the interpersonal, social, environmental, media and creative fields. Explores a variety of cultural themes related to sound and listening with special reference to acoustic design and sonic environments. Breadth-Humanities/Social Sciences.

CA 247 - Electroacoustic Music I (3)

The theory and practice of electroacoustic music technology and composition. The course will examine through lecture and studio work the following topics: analog and digital synthesis, microcomputer use, the multi-track studio, signal processing, communication protocols such as MIDI and sampling techniques. Prerequisite: CA (or FPA) 149. Students with credit for FPA 247 may not take this course for further credit. Quantitative.

CA 289 - Selected Topics in the Fine and Performing Arts (3)

A specific topic in fine and performing arts which is not otherwise covered in depth in regular courses and which is not appropriately placed within a single arts discipline. The work will be practical, theoretical, or a combination of the two, depending on the particular topic in a given term. May be of particular interest to students in other departments. May repeat for credit. Prerequisite: 15 CA (or FPA) units.

Upper Division Requirements

Students complete at least 39 units of computing science upper division courses, which should include CMPT courses in the following required and elective courses. Students must consult an advisor before commencing upper division requirements.

Students complete all of

CMPT 300 - Operating Systems I (3)

This course aims to give the student an understanding of what a modern operating system is, and the services it provides. It also discusses some basic issues in operating systems and provides solutions. Topics include multiprogramming, process management, memory management, and file systems. Prerequisite: CMPT 225 and (CMPT 295 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
Harinder Khangura
May 12 – Aug 9, 2021: Tue, 12:30–2:20 p.m.
May 12 – Aug 9, 2021: Fri, 12:30–1:20 p.m.
Burnaby
Burnaby
CMPT 307 - Data Structures and Algorithms (3)

Analysis and design of data structures for lists, sets, trees, dictionaries, and priority queues. A selection of topics chosen from sorting, memory management, graphs and graph algorithms. Prerequisite: CMPT 225, MACM 201, MATH 151 (or MATH 150), and MATH 232 or 240, all with a minimum grade of C-.

Section Instructor Day/Time Location
David Mitchell
May 12 – Aug 9, 2021: Mon, Wed, Fri, 11:30 a.m.–12:20 p.m.
Burnaby
CMPT 320 - Social Implications - Computerized Society (3)

An examination of social processes that are being automated and implications for good and evil, that may be entailed in the automation of procedures by which goods and services are allocated. Examination of what are dehumanizing and humanizing parts of systems and how systems can be designed to have a humanizing effect. Prerequisite: A CMPT course with a minimum grade of C- and 45 units. Breadth-Science.

Section Instructor Day/Time Location
Harinder Khangura
Jacqueline Nelsen
May 12 – Aug 9, 2021: Mon, Wed, Fri, 9:30–10:20 a.m.
Burnaby
CMPT 361 - Introduction to Computer Graphics (3)

This course provides an introduction to the fundamentals of computer graphics. Topics include graphics display and interaction hardware, basic algorithms for 2D primitives, anti-aliasing, 2D and 3D geometrical transformations, 3D projections/viewing, Polygonal and hierarchical models, hidden-surface removal, basic rendering techniques (color, shading, raytracing, radiosity), and interaction techniques. Prerequisite: CMPT 225 and MATH 232 or 240, all with a minimum grade of C-.

CMPT 363 - User Interface Design (3)

This course provides a comprehensive study of user interface design. Topics include: goals and principles of UI design (systems engineering and human factors), historical perspective, current paradigms (widget-based, mental model, graphic design, ergonomics, metaphor, constructivist/iterative approach, and visual languages) and their evaluation, existing tools and packages (dialogue models, event-based systems, prototyping), future paradigms, and the social impact of UI. Prerequisite: CMPT 225 with a minimum grade of C-.

Section Instructor Day/Time Location
Victor Cheung
May 12 – Aug 9, 2021: Tue, 5:30–8:20 p.m.
Burnaby
CMPT 365 - Multimedia Systems (3)

Multimedia systems design, multimedia hardware and software, issues in effectively representing, processing, and retrieving multimedia data such as text, graphics, sound and music, image and video. Prerequisite: CMPT 225 with a minimum grade of C-.

Section Instructor Day/Time Location
Jiangchuan Liu
May 12 – Aug 9, 2021: Mon, Wed, Fri, 9:30–10:20 a.m.
Burnaby
MACM 316 - Numerical Analysis I (3)

A presentation of the problems commonly arising in numerical analysis and scientific computing and the basic methods for their solutions. Prerequisite: MATH 152 or 155 or 158, and MATH 232 or 240, and computing experience. Quantitative.

Section Instructor Day/Time Location
Pengyu Liu
May 12 – Aug 9, 2021: Mon, Wed, Fri, 10:30–11:20 a.m.
Burnaby
D101 May 12 – Aug 9, 2021: Mon, 2:30–3:20 p.m.
Burnaby
D102 May 12 – Aug 9, 2021: Mon, 3:30–4:20 p.m.
Burnaby
D103 May 12 – Aug 9, 2021: Tue, 10:30–11:20 a.m.
Burnaby
D104 May 12 – Aug 9, 2021: Tue, 11:30 a.m.–12:20 p.m.
Burnaby
D105 May 12 – Aug 9, 2021: Tue, 9:30–10:20 a.m.
Burnaby
D106 May 12 – Aug 9, 2021: Tue, 1:30–2:20 p.m.
Burnaby
D107 May 12 – Aug 9, 2021: Mon, 4:30–5:20 p.m.
Burnaby
D108 May 12 – Aug 9, 2021: Mon, 5:30–6:20 p.m.
Burnaby

At least six of the following are required, three of which must be 400 division, three must be designated CMPT and two must be non-CMPT courses.

CMNS 358 - Sound Recording: Theory and Design (4)

An intermediate level studio workshop to develop the student's skills in sound production with an understanding of the communicational implications of sound design. Audio theory and its applications in both the digital and analog formats will be presented, along with practical studio techniques for stereo and multi-channel sound production. Prerequisite: CMNS 258 (or equivalent) with a minimum grade of C- or approval of instructor.

CMNS 359 - The Culture and Politics of Sound (4)

What do spectrograms, WWII and bird science have in common? What happens when we listen to sound and music? This seminar and lab course is designed to support active, applied upper level project work in the field of cultural sound studies using communications approaches, media analysis, audio production, and reflexive ethnography. Topics include but are not limited to: cultural aspects of listening, auditory perception, systems for measurement and evaluation of sound, soundwalking and urban sound design, race and gender dimensions of sound, audio techniques and formats in music production, sound design, soundmapping, and data sonification. Prerequisite: 45 units. Recommended: CMNS 259.

CMPT 310 - Artificial Intelligence Survey (3)

Provides a unified discussion of the fundamental approaches to the problems in artificial intelligence. The topics considered are: representational typology and search methods; game playing, heuristic programming; pattern recognition and classification; theorem-proving; question-answering systems; natural language understanding; computer vision. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-. Students with credit for CMPT 410 may not take this course for further credit.

Section Instructor Day/Time Location
Toby Donaldson
Milan Tofiloski
May 12 – Aug 9, 2021: Wed, 9:30–10:20 a.m.
May 12 – Aug 9, 2021: Fri, 8:30–10:20 a.m.
Burnaby
Burnaby
CMPT 354 - Database Systems I (3)

Logical representations of data records. Data models. Studies of some popular file and database systems. Document retrieval. Other related issues such as database administration, data dictionary and security. Prerequisite: CMPT 225 and (MACM 101 or (ENSC 251 and ENSC 252)), all with a minimum grade of C-.

Section Instructor Day/Time Location
Jack Thomas
May 12 – Aug 9, 2021: Mon, 8:30–9:20 a.m.
May 12 – Aug 9, 2021: Thu, 8:30–10:20 a.m.
Burnaby
Burnaby
CMPT 371 - Data Communications and Networking (3)

Data communication fundamentals (data types, rates, and transmission media). Network architectures for local and wide areas. Communications protocols suitable for various architectures. ISO protocols and internetworking. Performance analysis under various loadings and channel error rates. Prerequisite: CMPT 225 and (MATH 151 or MATH 150), with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 151 (MATH 150).

Section Instructor Day/Time Location
Janice Regan
May 12 – Aug 9, 2021: Mon, Wed, Fri, 12:30–1:20 p.m.
Burnaby
CMPT 412 - Computational Vision (3)

Computational approaches to image understanding will be discussed in relation to theories about the operation of the human visual system and with respect to practical applications in robotics. Topics will include edge detection, shape from shading, stereopsis, optical flow, Fourier methods, gradient space, three-dimensional object representation and constraint satisfaction. Prerequisite: MATH 152 with a minimum grade of C-, and nine units in Computing upper division courses or permission of the instructor.

CMPT 414 - Model-Based Computer Vision (3)

This course covers various topics in computer vision with the emphasis on the model-based approach. Main subjects include 2-D and 3-D representations, matching, constraint relaxation, model-based vision systems. State-of-the-art robot vision systems will be used extensively as study cases. The solid modelling and CAD aspects of this course should also interest students of computer graphics. Prerequisite: MATH 152 with a minimum grade of C- and nine units in CMPT upper division courses, or permission of the instructor.

CMPT 461 - Computational Photography and Image Manipulation (3)

Computational Photography is concerned with overcoming the limitations of traditional photography with computation: in optics, sensors, and geometry; and even in composition, style, and human interfaces. The course covers computational techniques to improve the way we process, manipulate, and interact with visual media. The covered topics include image-based lighting and rendering, camera geometry and optics, computational apertures, advanced image filtering operations, high-dynamic range, image blending, texture synthesis and inpainting. Prerequisite: CMPT 361, MACM 201 and 316, all with a minimum grade of C-. Students with credit for CMPT 451 may not take this course for further credit.

CMPT 466 - Animation (3)

Topics and techniques in animation, including: The history of animation, computers in animation, traditional animation approaches, and computer animation techniques such as geometric modelling, interpolation, camera controls, kinematics, dynamics, constraint-based animation, realistic motion, temporal aliasing, digital effects and post production. Prerequisite: CMPT 361 and MACM 316, with a minimum grade of C- or permission of the instructor.

CMPT 469 - Special Topics in Computer Graphics (3)

Current topics in computer graphics depending on faculty and student interest. Prerequisite: CMPT 361 with a minimum grade of C-.

CA 353 - BlackBox Performance (4)

Students continue playmaking research through the creation of an ensemble-generated series of public presentations. Integrates and implements the techniques acquired in studio courses. May repeat for credit. Prerequisite: CA (or FPA 253), or prior approval.

CA 390 - Filmmaking IV (4)

This course includes a series of technical workshops, screenings and seminars along with the completion of creative student projects. A laboratory fee is required. Project costs may require personal funding over and above the lab fee. Prerequisite: CA (or FPA) 231 or approval of instructor. Students with credit for FPA 390 may not take this course for further credit.

Writing, Quantitative, and Breadth Requirements

Students admitted to ¶¡ÏãÔ°AV beginning in the fall 2006 term must meet writing, quantitative and breadth requirements as part of any degree program they may undertake. See Writing, Quantitative, and Breadth Requirements for university-wide information.

WQB Graduation Requirements

A grade of C- or better is required to earn W, Q or B credit

Requirement

Units

Notes
W - Writing

6

Must include at least one upper division course, taken at ¶¡ÏãÔ°AV within the student’s major subject
Q - Quantitative

6

Q courses may be lower or upper division
B - Breadth

18

Designated Breadth Must be outside the student’s major subject, and may be lower or upper division
6 units Social Sciences: B-Soc
6 units Humanities: B-Hum
6 units Sciences: B-Sci

6

Additional Breadth 6 units outside the student’s major subject (may or may not be B-designated courses, and will likely help fulfil individual degree program requirements)

Students choosing to complete a joint major, joint honours, double major, two extended minors, an extended minor and a minor, or two minors may satisfy the breadth requirements (designated or not designated) with courses completed in either one or both program areas.

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Residency Requirements and Transfer Credit

  • At least half of the program's total units must be earned through ¶¡ÏãÔ°AV study.
  • At least two thirds of the program's total upper division units must be earned through ¶¡ÏãÔ°AV study.

Please see Faculty of Applied Sciences Residency Requirements for further information.

Elective Courses

In addition to the courses listed above, students should consult an academic advisor to plan the remaining required elective courses.

Co-operative Education and Work Experience

All computing science students are strongly encouraged to explore the opportunities that Work Integrated Learning (WIL) can offer them. Please contact a computing Science co-op advisor during your first year of studies to ensure that you have all of the necessary courses and information to help plan for a successful co-op experience.